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Join two SQL/BigQuery tables that do not contain the same columns

Time:04-16

I have two queries that create two separate tables, pulling on several foreign keys.

Simplified and using retail food as an example, Table 1 looks like this:

Transaction ID City Store Item Description
12320 Boston Joe's Shop 12305 Banana
12321 LA Bob's Market 12306 Apple
12322 NY Suzy's Corner Store 12307 Strawberry

Table 2 looks like this:

Transaction ID City Item Description
12323 SF 12308 Pineapple
12324 Houston 12306 Apple
12325 Miami 12307 Strawberry

Essentially, Table 2 contains transactions that do not have a store, and as such are treated differently in our company (and reported on separately). However, I was wondering how can I incorporate both tables to achieve something like this? I am getting stuck since the data pull for each table comes from different places, since in this example, transactions sold without a store get classified completely differently.

Transaction ID City Store Item Description
12320 Boston Joe's Shop 12305 Banana
12321 LA Bob's Market 12306 Apple
12322 NY Suzy's Corner Store 12307 Strawberry
12323 SF No Store 12308 Pineapple
12324 Houston No Store 12307 Apple
12325 Miami No Store 12307 Strawberry

Thank you in advance for your help!

CodePudding user response:

In SQL this is called a UNION. You can union two sets if they have the same columns, such as:

select trans_id, city, store, item, description from table1
union
select trans_id, city, 'No Store' as store, item, description from table2
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